Dear forum members,
I need to run a constrained regression model for different dvs. The regression has multiway fixed effects (ibn.zipcode#ibn.products) and there are around 400 zip codes and 26 products.
Is there a way to absorb the fixed effects so it runs faster like in reghdfe , absorb(ibn.zipcode#ibn.products)?
I need to run a constrained regression model for different dvs. The regression has multiway fixed effects (ibn.zipcode#ibn.products) and there are around 400 zip codes and 26 products.
Is there a way to absorb the fixed effects so it runs faster like in reghdfe , absorb(ibn.zipcode#ibn.products)?
Code:
cnsreg log_revenue ibn.zipcode#ibn.products i.date tt_5 tt_4 tt_3 tt_2 tt0 tt1 ht_5 ht_4 ht_3 ht_2 ht0 ht1 at_5 at_4 at_3 at_2 at0 b(0).products_t_5 b(0).products_t_4 b(0).products_t_3 b(0).products_t_2 b(0).products_t0 b(0).products_t1 , nocons constraints(11 10 2 3 4 5) collinear vce(cluster zipcode) where tt_5 tt_4 tt_3 tt_2 tt0 tt1 ht_5 ht_4 ht_3 ht_2 ht0 ht1 at_5 at_4 at_3 at_2 at0 are store-specific time to opening dummies b(0).products_t_5 b(0).products_t_4 b(0).products_t_3 b(0).products_t_2 b(0).products_t0 b(0).products_t1 are product-specific time to opening dummies constraints are 1.products_t_5+...+26.products_t_5=0 (constraint 5) 1.products_t_4+...+26.products_t_4=0 (constraint 4) 1.products_t_3+...+26.products_t_3=0 (constraint 3) 1.products_t_2+...+26.products_t_2=0 (constraint 2) 1.products_t0+...+26.products_t0=0 (constraint 10) 1.products_t1+...+26.products_t1=0 (constraint 11)

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